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1 claim from 1 paper

1. Computer Science › Topic Modeling

   SciBERT: A Pretrained Language Model for Scientific Text

   Beltagy, Lo and Cohan · arXiv (Cornell University) · 2019

   The authors release SciBERT, a BERT-based language model pretrained on scientific publications, and report improvements over BERT and new state-of-the-art results on several scientific NLP tasks.

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   1. UncheckedSciBERT, a language model pretrained without labels on many scientific papers, is meant to improve results on later scientific text-processing tasks.“SciBERT leverages unsupervised pretraining on a large multi-domain corpus of scientific publications to improve performance on downstream scientific NLP tasks.”